• Microchip provides a full-stack edge AI platform for developing and deploying production-ready applications on its MCUs and MPUs. • These devices operate at the network edge, close to sensors and actuators, enabling deterministic, real-time decision-making. • Processing data locally within embedded systems reduces latency and improves security by limiting cloud connectivity. • The full-stack application portfolio includes pretrained, production-ready models and application code that can be modified, extended, and deployed across target environments. • Development and optimization are performed using Microchip’s embedded software and ML toolchains, as well as partner ecosystem tools. • Edge AI applications include: AI-based detection and classification of electrical arc faults using signal analysis Condition monitoring and equipment health assessment for predictive maintenance On-device facial recognition with liveness detection for secure identity verification Keyword spotting for consumer, industrial, and automotive command-and-control interfaces Microchip is working with customers deploying its edge AI solutions, providing model training guidance and workflow integration across the development cycle.
Article Summaries:
- Microchip provides a full-stack edge AI platform for developing and deploying production-ready applications on its MCUs and MPUs. These devices operate at the network edge, close to sensors and actuators, enabling deterministic, real-time decision-making. Processing data locally within embedded systems reduces latency and improves security by limiting cloud connectivity. The full-stack application portfolio includes pretrained, production-ready models and application code that can be modified, extended, and deployed across target environments. Development and optimization are performed using M
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